Pham, Hoang

6 publications

TMLR 2026 Retrospective Feature Estimation for Continual Learning Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D Doan

ICLR 2025 DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than, Long Tran-Thanh, Hongkai Wen

NeurIPS 2025 The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis Hoang Pham, The-Anh Ta, Tom Jacobs, Rebekka Burkholz, Long Tran-Thanh

ECCV 2024 Flatness-Aware Sequential Learning Generates Resilient Backdoors Hoang Pham, The-Anh Ta, Anh T Tran, Khoa D Doan

NeurIPS 2023 Towards Data-Agnostic Pruning at Initialization: What Makes a Good Sparse Mask? Hoang Pham, The Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh

MLJ 2022 Adaptive Infinite Dropout for Noisy and Sparse Data Streams Ha Nguyen, Hoang Pham, Son Nguyen, Ngo Van Linh, Khoat Than